Family income, parental education and brain structure in children and adolescents

Kimberly G. Noble; Suzanne M. Houston; Natalie H. Brito; Hauke Bartsch; Eric Kan; Joshua M. Kuperman; Natacha Akshoomoff; David G. Amaral; Cinnamon S. Bloss; Ondrej Libiger; Nicholas J. Schork; Sarah S. Murray; B. J. Casey; Linda Chang; Thomas M. Ernst; Jean A. Frazier; Jeffrey R. Gruen; David N. Kennedy; Peter Van Zijl; Stewart Mostofsky; Walter E. Kaufmann; Tal Kenet; Anders M. Dale; Terry L. Jernigan; Elizabeth R. Sowell

doi:10.1038/nn.3983

Family income, parental education and brain structure in children and adolescents

Kimberly G. Noble, Suzanne M. Houston, Natalie H. Brito, Hauke Bartsch, Eric Kan, Joshua M. Kuperman, Natacha Akshoomoff, David G. Amaral, Cinnamon S. Bloss, Ondrej Libiger, Nicholas J. Schork, Sarah S. Murray, B. J. Casey, Linda Chang, Thomas M. Ernst, Jean A. Frazier, Jeffrey R. Gruen, David N. Kennedy, Peter Van Zijl, Stewart MostofskyWalter E. Kaufmann, Tal Kenet, Anders M. Dale, Terry L. Jernigan, Elizabeth R. Sowell

Applied Psychology

Research output: Contribution to journal › Article › peer-review

Abstract

Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. We investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1,099 typically developing individuals between 3 and 20 years of age. Income was logarithmically associated with brain surface area. Among children from lower income families, small differences in income were associated with relatively large differences in surface area, whereas, among children from higher income families, similar income increments were associated with smaller differences in surface area. These relationships were most prominent in regions supporting language, reading, executive functions and spatial skills; surface area mediated socioeconomic differences in certain neurocognitive abilities. These data imply that income relates most strongly to brain structure among the most disadvantaged children.

Original language	English (US)
Pages (from-to)	773-778
Number of pages	6
Journal	Nature Neuroscience
Volume	18
Issue number	5
DOIs	https://doi.org/10.1038/nn.3983
State	Published - Apr 28 2015

ASJC Scopus subject areas

General Neuroscience

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Noble, K. G., Houston, S. M., Brito, N. H., Bartsch, H., Kan, E., Kuperman, J. M., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., Schork, N. J., Murray, S. S., Casey, B. J., Chang, L., Ernst, T. M., Frazier, J. A., Gruen, J. R., Kennedy, D. N., Van Zijl, P., ... Sowell, E. R. (2015). Family income, parental education and brain structure in children and adolescents. Nature Neuroscience, 18(5), 773-778. https://doi.org/10.1038/nn.3983

Noble, KG, Houston, SM, Brito, NH, Bartsch, H, Kan, E, Kuperman, JM, Akshoomoff, N, Amaral, DG, Bloss, CS, Libiger, O, Schork, NJ, Murray, SS, Casey, BJ, Chang, L, Ernst, TM, Frazier, JA, Gruen, JR, Kennedy, DN, Van Zijl, P, Mostofsky, S, Kaufmann, WE, Kenet, T, Dale, AM, Jernigan, TL & Sowell, ER 2015, 'Family income, parental education and brain structure in children and adolescents', Nature Neuroscience, vol. 18, no. 5, pp. 773-778. https://doi.org/10.1038/nn.3983

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abstract = "Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. We investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1,099 typically developing individuals between 3 and 20 years of age. Income was logarithmically associated with brain surface area. Among children from lower income families, small differences in income were associated with relatively large differences in surface area, whereas, among children from higher income families, similar income increments were associated with smaller differences in surface area. These relationships were most prominent in regions supporting language, reading, executive functions and spatial skills; surface area mediated socioeconomic differences in certain neurocognitive abilities. These data imply that income relates most strongly to brain structure among the most disadvantaged children.",

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AU - Kuperman, Joshua M.

AU - Akshoomoff, Natacha

AU - Amaral, David G.

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AU - Libiger, Ondrej

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AU - Murray, Sarah S.

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AU - Chang, Linda

AU - Ernst, Thomas M.

AU - Frazier, Jean A.

AU - Gruen, Jeffrey R.

AU - Kennedy, David N.

AU - Van Zijl, Peter

AU - Mostofsky, Stewart

AU - Kaufmann, Walter E.

AU - Kenet, Tal

AU - Dale, Anders M.

AU - Jernigan, Terry L.

AU - Sowell, Elizabeth R.

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Family income, parental education and brain structure in children and adolescents

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